Forward Deployed Engineer
About the job
- Two to three years of hands-on data science experience.
- Experience delivering machine-learning systems into production.
- Some exposure to client-facing or stakeholder-intensive environments.
- Solid proficiency in Python and SQL.
- Experience with forecasting and time-series models.
- Experience with supervised and unsupervised machine learning.
- Familiarity with generative AI and prompt engineering.
- Familiarity with AI agents and large language model-based workflows.
- Proficiency with Git and collaborative development workflows.
- Good understanding of statistical modeling and model evaluation.
- Strong communication and collaboration skills.
- Help drive customers' AI transformation journeys by working hands-on across data science, AI architecture, and implementation and partnering with client stakeholders to deliver solutions.
- Deliver and expand AI use cases after a customer's data platform is live, partnering with BI, Finance, Operations, and business stakeholders.
- Identify high-leverage AI opportunities.
- Build robust machine-learning and generative AI solutions.
- Deploy production-ready systems.
- Support adoption across the client organization.
- Build and deploy machine-learning models, including forecasting, optimization, clustering, and anomaly-detection models.
- Develop generative AI workflows.
- Implement AI agents that automate analysis and operational decisions.
- Follow best practices for model monitoring, retraining, and governance.
- Help deliver an operational AI solution addressing a core business pain point within two to four weeks.
- Define data requirements and modeling strategies in collaboration with the team.
About the company
Arkham Technologies provides a blockchain analytics platform that tracks cryptocurrency transactions and reveals connections between on-chain activity and real-world entities. Its core product uses AI-powered technology called Ultra to link blockchain addresses to identifiable actors, making it possible to see who is behind a crypto address and how they move assets. The platform includes tools for monitoring other investors’ activity and analyzing on-chain data, plus the Arkham Intel Exchange, a decentralized marketplace where users buy and sell crypto-related intelligence using the ARKM token, creating an intel-to-earn economy. Arkham’s business model centers on delivering on-chain data insights through the platform and token ecosystem to traders, researchers, and financial institutions who seek greater transparency and efficiency in crypto markets.
Company Size
11-50
Company Stage
Seed
Total Funding
$2M
Headquarters
Miami, Florida
Founded
2023
Get referred to Arkham Technologies
See people who can refer or advise you
Simplify's Take
What believers are saying
- April 21, 2026 decentralized trading adds a second product beyond analytics and Intel Exchange.
- June 23, 2026 risk scores and June 29 prediction-market Elo deepen monetizable workflow data.
- May 7, 2026 prediction markets and April 15, 2026 Morgan Stanley coverage broaden enterprise relevance.
What critics are saying
- September 2026 ARKM unlock releases about 199 million tokens, crushing holders and employees.
- Arkham dropped Linea, Manta, and Blast on January 11, 2026, signaling narrow coverage discipline.
- Dfinity sued Arkham in 2022; a new attribution lawsuit or regulator attack remains existential.
What makes Arkham Technologies unique
- Arkham Deanonymizes over 90% of HyperEVM volume, per April 28, 2026 launch.
- April 2026 decentralized trading combines Intel labels with Solana token discovery and execution.
- August 2026 API docs let AI agents query Arkham data through Claude and x402.
Help us improve and share your feedback! Did you find this helpful?
Benefits
- Hybrid Work Options